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NEW QUESTION: 1
Which statement is true about the NameNode in Hadoop?
A. When loading data, the NameNode tells the client or program where to write the data.
B. If the NameNode goes down and a secondary NameNode has not been defined, the cluster is still accessible.
C. All data passes through the NameNode; so if it is not sized properly, it could be a potential bottleneck.
D. A query in Hadoop requires a MapReduce job to be run so the NameNode gets the location of the data from the JobTracker.
Answer: B
Explanation:
Note that, in an HA cluster, the Standby NameNode also performs checkpoints of the namespace state, and thus it is not necessary to run a Secondary NameNode,
CheckpointNode, or BackupNode in an HA cluster. In fact, to do so would be an error.
In a typical HA cluster, two separate machines are configured as NameNodes. At any point in time, exactly one of the NameNodes is in an Active state, and the other is in a Standby state.
Note that, in an HA cluster, the Standby NameNode also performs checkpoints of the namespace state, and thus it is not necessary to run a Secondary NameNode,
CheckpointNode, or BackupNode in an HA cluster.
References: https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop- hdfs/HDFSHighAvailabilityWithNFS.html

NEW QUESTION: 2
管理者がMobility Master（MM）階層にMobility Controller（MC）を手動で追加するとき、どのパラメータを指定する必要がありますか。 （3つ選択してください。）
A. 製造番号
B. MACアドレス
C. デバイス種別
D. ホスト名
E. IPアドレス
Answer: B,C,E

NEW QUESTION: 3

A. dominounid
B. Uid
C. mail
D. notesdn
Answer: B

NEW QUESTION: 4
Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the
two tables are formatted as comma-separated files in HDFS.
A. No, MapReduce cannot perform relational operations.
B. Yes, so long as both tables fit into memory.
C. No, but it can be done with either Pig or Hive.
D. Yes.
E. Yes, but only if one of the tables fits into memory
Answer: D